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Huang Z, Gunderman AL, Wilcox SE, Sengupta S, Shah J, Lu A, Woodrum D, Chen Y. Body-Mounted MR-Conditional Robot for Minimally Invasive Liver Intervention. Ann Biomed Eng 2024; 52:2065-2075. [PMID: 38634953 DOI: 10.1007/s10439-024-03503-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/25/2024] [Indexed: 04/19/2024]
Abstract
MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to the limited accuracy provided by the manual needle insertions. This paper presents a compact body-mounted MR-conditional robot that can operate in closed-bore MR scanners for accurate needle guidance. The robotic platform consists of two stacked Cartesian XY stages, each with two degrees of freedom, that facilitate needle insertion pose control. The robot is actuated using 3D-printed pneumatic turbines with MR-conditional bevel gear transmission systems. Pneumatic valves and control mechatronics are located inside the MRI control room and are connected to the robot with pneumatic transmission lines and optical fibers. Free-space experiments indicated robot-assisted needle insertion error of 2.6 ± 1.3 mm at an insertion depth of 80 mm. The MR-guided phantom studies were conducted to verify the MR-conditionality and targeting performance of the robot. Future work will focus on the system optimization and validations in animal trials.
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Affiliation(s)
- Zhefeng Huang
- Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA
| | - Anthony L Gunderman
- Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA
| | - Samuel E Wilcox
- Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave South Medical Center North, Nashville, TN, 37232, USA
| | - Jay Shah
- Department of Radiology, Emory University, 1364 Clifton Rd, Atlanta, GA, 30329, USA
| | - Aiming Lu
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - David Woodrum
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Yue Chen
- Institute of Robotics and Intelligent Machines, Georgia Institute of Technology, 801 Atlantic Dr NW, Atlanta, GA, 30332, USA.
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, 313 Ferst Dr, Atlanta, GA, 30332, USA.
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Gunderman AL, Azizkhani M, Sengupta S, Cleary K, Chen Y. Modeling and Control of an MR-Safe Pneumatic Radial Inflow Motor and Encoder (PRIME). IEEE/ASME TRANSACTIONS ON MECHATRONICS : A JOINT PUBLICATION OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY AND THE ASME DYNAMIC SYSTEMS AND CONTROL DIVISION 2024; 29:1714-1725. [PMID: 38895598 PMCID: PMC11185264 DOI: 10.1109/tmech.2023.3329296] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Magnetic resonance (MR) conditional actuators and encoders are the key components for MR-guided robotic systems. In this article, we present the modeling and control of our MR-safe pneumatic radial inflow motor and encoder. A comprehensive model is developed that considers the primary dynamic elements of the system, including: 1) motor dynamics, 2) pneumatic transmission line dynamics, and 3) valve dynamics. After model validation, we present a simplified third order model that facilitates design of a first order sliding mode controller (TO-SMC). Finally, the motor hardware is tested in a 7T MRI. No image distortion or artifacts were observed. We posit the MR-safe motor and dynamic model will lower the entry barriers for researchers interested in MR-guided robots and promote wider adoption of MR-guided robotic systems.
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Affiliation(s)
- Anthony L Gunderman
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory, Atlanta, GA 30338 USA
| | - Milad Azizkhani
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory, Atlanta, GA 30338 USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232 USA
| | - Kevin Cleary
- Children's National Hospital, Washington, DC 20010 USA
| | - Yue Chen
- Department of Biomedical Engineering, Georgia Institute of Technology/Emory, Atlanta, GA 30338 USA
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Hrovat M, Kolandaivelu A, Wang Y, Gunderman A, Halperin HR, Chen Y, Schmidt EJ. Balanced-force shim system for correcting magnetic-field inhomogeneities in the heart due to implanted cardioverter defibrillators. Front Med (Lausanne) 2024; 11:1225848. [PMID: 38414618 PMCID: PMC10897050 DOI: 10.3389/fmed.2024.1225848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 01/22/2024] [Indexed: 02/29/2024] Open
Abstract
Background In the US, 1.4 million people have implanted ICDs for reducing the risk of sudden death due to ventricular arrhythmias. Cardiac MRI (cMR) is of particular interest in the ICD patient population as cMR is the optimal imaging modality for distinguishing cardiac conditions that predispose to sudden death, and it is the best method to plan and guide therapy. However, all ICDs contain a ferromagnetic transformer which imposes a large inhomogeneous magnetic field in sections of the heart, creating large image voids that can mask important pathology. A shim system was devised to resolve these ICD issues. A shim coil system (CSS) that corrects ICD artifacts over a user-selected Region-of-Interest (ROI), was constructed and validated. Methods A shim coil was constructed that can project a large magnetic field for distances of ~15 cm. The shim-coil can be positioned safely anywhere within the scanner bore. The CSS includes a cantilevered beam to hold the shim coil. Remotely controlled MR-conditional motors allow 2 mm-accuracy three-dimensional shim-coil position. The shim coil is located above the subjects and the imaging surface-coils. Interaction of the shim coil with the scanner's gradients was eliminated with an amplifier that is in a constant current mode. Coupling with the scanners' radio-frequency (rf) coils, was reduced with shielding, low-pass filters, and cable shield traps. Software, which utilizes magnetic field (B0) mapping of the ICD inhomogeneity, computes the optimal location for the shim coil and its corrective current. ECG gated single- and multiple-cardiac-phase 2D GRE and SSFP sequences, as well as 3D ECG-gated respiratory-navigated IR-GRE (LGE) sequences were tested in phantoms and N = 3 swine with overlaid ICDs. Results With all cMR sequences, the system reduced artifacts from >100 ppm to <25 ppm inhomogeneity, which permitted imaging of the entire left ventricle in swine with ICD-related voids. Continuously acquired Gradient recalled echo or Steady State Free Precession images were used to interactively adjust the shim current and coil location. Conclusion The shim system reduced large field inhomogeneities due to implanted ICDs and corrected most ICD-related image distortions. Externally-controlled motorized translation of the shim coil simplified its utilization, supporting an efficient cardiac MRI workflow.
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Affiliation(s)
| | | | - Yifan Wang
- Georgia Institute of Technology, Atlanta, GA, United States
| | | | - Henry R. Halperin
- Medicine (Cardiology), Johns Hopkins University, Baltimore, MD, United States
| | - Yue Chen
- Georgia Institute of Technology, Atlanta, GA, United States
| | - Ehud J. Schmidt
- Medicine (Cardiology), Johns Hopkins University, Baltimore, MD, United States
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Gunderman AL, Sengupta S, Siampli E, Sigounas D, Kellner C, Oluigbo C, Sharma K, Godage I, Cleary K, Chen Y. Non-Metallic MR-Guided Concentric Tube Robot for Intracerebral Hemorrhage Evacuation. IEEE Trans Biomed Eng 2023; 70:2895-2904. [PMID: 37074885 PMCID: PMC10699321 DOI: 10.1109/tbme.2023.3268279] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
OBJECTIVE We aim to develop and evaluate an MR-conditional concentric tube robot for intracerebral hemorrhage (ICH) evacuation. METHODS We fabricated the concentric tube robot hardware with plastic tubes and customized pneumatic motors. The robot kinematic model was developed using a discretized piece-wise constant curvature (D-PCC) approach to account for variable curvature along the tube shape, and tube mechanics model was used to compensate torsional deflection of the inner tube. The MR-safe pneumatic motors were controlled using a variable gain PID algorithm. The robot hardware was validated in a series of bench-top and MRI experiments, and the robot's evacuation efficacy was tested in MR-guided phantom trials. RESULTS The pneumatic motor was able to achieve a rotational accuracy of 0.32°±0.30° with the proposed variable gain PID control algorithm. The kinematic model provided a positional accuracy of the tube tip of 1.39 ± 0.54 mm. The robot was able to evacuate an initial 38.36 mL clot, leaving a residual hematoma of 8.14 mL after 5 minutes, well below the 15 mL guideline suggesting good post-ICH evacuation clinical outcomes. CONCLUSION This robotic platform provides an effective method for MR-guided ICH evacuation. SIGNIFICANCE ICH evacuation is feasible under MRI guidance using a plastic concentric tube, indicating potential feasibility in future live animal studies.
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Aziz MA, Benini E, Khalifa MA, Gaheen OAE. Speed and Torque Control of Pneumatic Motors Using Controlled Pulsating Flow.. [DOI: 10.21203/rs.3.rs-2268477/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Abstract
Pneumatic motors have several advantages over electric motors and have many robotics and automation applications. However, the performance control of pneumatic motors is not satisfactory mainly due to air compressibility and the high cost of conventional control methods using proportional control valves. This paper presents an unprecedented application of pneumatic motor control using a pulsating compressed air technique. The study also included validated simulations using the Automation Studio program to control the pneumatic motor’s speed and torque. The results showed a clear and noticeable improvement in controlling the pneumatic motor outputs and demonstrated that the improvements are frequency functions of the compressed air source pulses and pressure. In addition, the results showed remarkable success in controlling the pneumatic motor outputs depending on the frequency of the compressed air-source pulses and pressure. Pulsating air frequencies of 1.5, 3, and 4.5 Hz were considered as inlet source pressure changed from 1.72, 3.45, and 5.17 bar. Furthermore, empirical correlations have been developed for advanced use in automatic control circuits at an error of 6.3–9.5% in predicting the motor speed and torque outputs.
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Musa M, Sengupta S, Chen Y. MRI-Compatible Soft Robotic Sensing Pad for Head Motion Detection. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3147892] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Musa MJ, Carpenter AB, Kellner C, Sigounas D, Godage I, Sengupta S, Oluigbo C, Cleary K, Chen Y. Minimally Invasive Intracerebral Hemorrhage Evacuation: A review. Ann Biomed Eng 2022; 50:365-386. [PMID: 35226279 DOI: 10.1007/s10439-022-02934-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 02/11/2022] [Indexed: 11/01/2022]
Abstract
Intracerebral hemorrhage is a leading cause of morbidity and mortality worldwide. To date, there is no specific treatment that clearly provides a benefit in functional outcome or mortality. Surgical treatment for hematoma evacuation has not yet shown clear benefit over medical management despite promising preclinical studies. Minimally invasive treatment options for hematoma evacuation are under investigation but remain in early-stage clinical trials. Robotics has the potential to improve treatment. In this paper, we review intracerebral hemorrhage pathology, currently available treatments, and potential robotic approaches to date. We also discuss the future role of robotics in stroke treatment.
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Affiliation(s)
- Mishek J Musa
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA
| | | | - Christopher Kellner
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai Medical System, New York, NY, USA
| | - Dimitri Sigounas
- Department of Neurosurgery, The George Washington University, Washington, Washington, DC, USA
| | - Isuru Godage
- College of Computing and Digital Media, DePaul University, Chicago, IL, USA
| | - Saikat Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Chima Oluigbo
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Yue Chen
- Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr NW, Atlanta, GA, 30332, USA.
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Dai X, Zhang Y, Jiang J, Li B. Image-guided robots for low dose rate prostate brachytherapy: Perspectives on safety in design and use. Int J Med Robot 2021; 17:e2239. [PMID: 33689202 DOI: 10.1002/rcs.2239] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 01/27/2021] [Accepted: 01/28/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Image-guided brachytherapy (BT) robots can be used to assist urologists during seed implantation, thereby improving therapeutic effects. However, safety issues must be considered in the design of such robots, including their structure, mechanical movements, function, materials and actuators. Previous reviews focused on image-guided prostate BT robot technology (e.g., imaging and robot navigation technology and robot system introduction); however, this review is the first time that safety issues have been investigated as part of a study on low-dose-rate (LDR) prostate BT robots. METHODS Multiple electronic databases were searched for LDR prostate BT robot articles published during the last 24 years (1996-2020), with a particular focus on two aspects of robots: safety in design and use. RESULTS We retrieved a total of 26 LDR prostate BT robots. BT robots were divided into ultrasound, computed tomography, magnetic resonance imaging and fusion-guided systems. The conditions associated with each system were then analysed to develop a set of requirements for the safety of prostate BT robots. Recommendations are also provided for future BT robot development. CONCLUSIONS The transrectal approach for prostate seed implantation is safer than the traditional transperineal approach. Research into the control of a steerable needle by the urologists and robot, the needle deflection model, and robotic automated needle changing and seed injection equipment should be pursued in a future study.
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Affiliation(s)
- Xuesong Dai
- Robotics & Engineering Research Center, Harbin University of Science and Technology, Harbin, China
| | - Yongde Zhang
- Robotics & Engineering Research Center, Harbin University of Science and Technology, Harbin, China.,Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China
| | - Jingang Jiang
- Robotics & Engineering Research Center, Harbin University of Science and Technology, Harbin, China.,Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China
| | - Bing Li
- Robotics & Engineering Research Center, Harbin University of Science and Technology, Harbin, China
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Li G, Patel NA, Burdette EC, Pilitsis JG, Su H, Fischer GS. A Fully Actuated Robotic Assistant for MRI-Guided Precision Conformal Ablation of Brain Tumors. IEEE/ASME TRANSACTIONS ON MECHATRONICS : A JOINT PUBLICATION OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY AND THE ASME DYNAMIC SYSTEMS AND CONTROL DIVISION 2020; 26:255-266. [PMID: 33994771 PMCID: PMC8117662 DOI: 10.1109/tmech.2020.3012903] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
This paper reports the development of a fully actuated robotic assistant for magnetic resonance imaging (MRI)-guided precision conformal ablation of brain tumors using an interstitial high intensity needle-based therapeutic ultrasound (NBTU) ablator probe. The robot is designed with an eight degree-of-freedom (DOF) remote center of motion (RCM) manipulator driven by piezoelectric actuators, five for aligning the ultrasound thermal ablator to the target lesions and three for inserting and orienting the ablator and its cannula to generate a desired ablation profile. The 8-DOF fully actuated robot can be operated in the scanner bore during imaging; thus, alleviating the need of moving the patient in or out of the scanner during the procedure, and therefore potentially reducing the procedure time and streamlining the workflow. The free space positioning accuracy of the system is evaluated with the OptiTrack motion capture system, demonstrating the root mean square (RMS) error of the tip position to be 1.11±0.43mm. The system targeting accuracy in MRI is assessed with phantom studies, indicating the RMS errors of the tip position to be 1.45±0.66mm and orientation to be 1.53±0.69°. The feasibility of the system to perform thermal ablation is validated through a preliminary ex-vivo tissue study with position error less than 4.3mm and orientation error less than 4.3°.
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Affiliation(s)
- Gang Li
- Automation and Interventional Medicine (AIM) Laboratory in the Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | - Niravkumar A. Patel
- Automation and Interventional Medicine (AIM) Laboratory in the Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
| | | | | | - Hao Su
- Department of Mechanical Engineering, City College, City University of New York, NY, USA
| | - Gregory S. Fischer
- Automation and Interventional Medicine (AIM) Laboratory in the Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA, USA
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Shao S, Sun B, Ding Q, Yan W, Zheng W, Yan K, Hong Y, Cheng SS. Design, Modeling, and Control of a Compact SMA-Actuated MR-Conditional Steerable Neurosurgical Robot. IEEE Robot Autom Lett 2020. [DOI: 10.1109/lra.2020.2967297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Chen Y, Howard J, Godage I, Sengupta S. Closed Loop Control of an MR-Conditional Robot with Wireless Tracking Coil Feedback. Ann Biomed Eng 2019; 47:2322-2333. [PMID: 31218486 DOI: 10.1007/s10439-019-02311-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/12/2019] [Indexed: 12/23/2022]
Abstract
This paper presents a hardware and software system to implement the task space control of an MR-conditional robot by integrating inductively coupled wireless coil based tracking feedback into the control loop. The main motivation of this work is to increase the accuracy performance and address the system uncertainties in the practical scenarios. We present the MR-conditional robot hardware design, wireless tracking method, and custom-designed communication software for real-time tracking data transfer. Based on these working principles, we fabricate the robot platform and evaluate the complete system with respect to various performance indices, i.e. data communication speed, targeting accuracy, tracking coil resolution, image quality, temperature variation, and task space control accuracy for static and dynamic targeting inside MRI scanner. The in-scanner targeting results show that the MR-conditional robot with wireless tracking coil feedback achieves the targeting error of 0.17 ± 0.08 mm, while the error calculated from the joint space optical encoder feedback is 0.68 ± 0.19 mm.
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Affiliation(s)
- Yue Chen
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, 72701, USA.
| | - Joseph Howard
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
| | - Isuru Godage
- School of Computing, DePaul University, Chicago, IL, 60604, USA
| | - Saikat Sengupta
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
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Chen Y, Godage IS, Sengupta S, Liu CL, Weaver KD, Barth EJ. MR-conditional steerable needle robot for intracerebral hemorrhage removal. Int J Comput Assist Radiol Surg 2019; 14:105-115. [PMID: 30173334 PMCID: PMC7306193 DOI: 10.1007/s11548-018-1854-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 08/27/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Intracerebral hemorrhage (ICH) is one of the deadliest forms of stroke in the USA. Conventional surgical techniques such as craniotomy or stereotactic aspiration disrupt a large volume of healthy brain tissue in their attempts to reach the surgical site. Consequently, the surviving patients suffer from debilitating complications. METHODS We fabricated a novel MR-conditional steerable needle robot for ICH treatment. The robot system is powered by a custom-designed high power and low-cost pneumatic motor. We tested the robot's targeting accuracy and MR-conditionality performance, and performed phantom evacuation experiment under MR image guidance. RESULTS Experiments demonstrate that the robotic hardware is MR-conditional; the robot has the targeting accuracy of 1.26 ± 1.22 mm in bench-top tests. With real-time MRI guidance, the robot successfully reached the desired target and evacuated an 11.3 ml phantom hematoma in 9 min. CONCLUSION MRI-guided steerable needle robotic system is a potentially feasible approach for ICH treatment by providing accurate needle guidance and intraoperative surgical outcome evaluation.
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Affiliation(s)
- Yue Chen
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
| | - Isuru S Godage
- School of Computing, DePaul University, Chicago, IL, USA
| | - Saikat Sengupta
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Cindy Lin Liu
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kyle D Weaver
- Department of Neurological Surgery, Vanderbilt Medical Center, Nashville, TN, USA
| | - Eric J Barth
- Department of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA
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Magnetic Resonance Conditional Microinjector. J Imaging 2018; 5:jimaging5010004. [PMID: 34470181 PMCID: PMC8320858 DOI: 10.3390/jimaging5010004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/12/2018] [Accepted: 12/20/2018] [Indexed: 11/17/2022] Open
Abstract
Glaucoma, one of the leading causes of blindness, has been linked to increases in intraocular pressure. In order to observe and study this effect, proposed is a specialized microinjector and driver that can be used to inject small amounts of liquid into a target volume. Magnetic resonance imaging (MRI) guided remotely activated devices require specialized equipment that is compatible with the MR environment. This paper presents an MR Conditional microinjector system with a pressure sensor for investigating the effects of intraocular pressure (IOP) in near-real-time. The system uses pressurized air and a linear actuation device to push a syringe in a controlled, stepwise manner. The feasibility and utility of the proposed investigative medical research tool were tested and validated by measuring the pressure inside an intact animal donor eyeball while precise, small volumes of water were injected into the specimen. Observable increases in the volume of the specimen at measured, specific target pressure increases show that the system is technically feasible for studying IOP effects, while the changes in shape were depicted in MRI scan images themselves. In addition, it was verified that the presence and operation of the system did not interfere with the MRI machine, confirming its conditional compatibility with the 3T MRI.
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Abstract
Purpose: A novel grid-template-mimicking MR-compatible robot was developed for in-gantry MRI-guided focal laser ablation of prostate cancer. Method: A substantially compact robot was designed and prototyped to meet in-gantry lithotomy ergonomics and allow for accommodation in the perineum. The controller software was reconfigured and integrated with the custom-designed navigation and multi-focal ablation software. Three experiments were conducted: (1) free space accuracy test; (2) phantom study under computed tomography (CT) guidance for image-guided accuracy test and overall workflow; and (3) magnetic resonance imaging (MRI)-guided focal laser ablation of an ex vivo prostate. The free space accuracy study included five targets that were selected across the workspace. The robot was then commanded five times to each target. The phantom study used a gel phantom made with color changing thermos-chromic ink, and four spherical metal fiducials were deployed with the robot. Then, laser ablation was applied, and the phantom was sliced for gross observation. For an MR-guided ex vivo test, a prostate from a donor who died of prostate cancer was obtained and multi-focally ablated using the system within the MRI gantry. The tissue was sliced after ablation for validation. Results: free-space accuracy was 0.38 ± 0.27 mm. The overall system targeting accuracy under CT guidance (including robot, registration, and insertion error) was 2.17 ± 0.47 mm. The planned ablation zone was successfully covered in both acrylamide gel phantom and in human prostate tissue. Conclusions: The new robot can accurately facilitate fiber targeting for MR-guided focal laser ablation of targetable prostate cancer.
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Chen Y, Godage I, Su H, Song A, Yu H. Stereotactic Systems for MRI-Guided Neurosurgeries: A State-of-the-Art Review. Ann Biomed Eng 2018; 47:335-353. [PMID: 30377898 DOI: 10.1007/s10439-018-02158-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Accepted: 10/17/2018] [Indexed: 10/28/2022]
Abstract
Recent technological developments in magnetic resonance imaging (MRI) and stereotactic techniques have significantly improved surgical outcomes. Despite the advantages offered by the conventional MRI-guided stereotactic neurosurgery, the robotic-assisted stereotactic approach has potential to further improve the safety and accuracy of neurosurgeries. This review aims to provide an update on the potential and continued growth of the MRI-guided stereotactic neurosurgical techniques by describing the state of the art in MR conditional stereotactic devices including manual and robotic-assisted. The paper also presents a detailed overview of MRI-guided stereotactic devices, MR conditional actuators and encoders used in MR conditional robotic-assisted stereotactic devices. The review concludes with several research challenges and future perspectives, including actuator and sensor technique, MR image guidance, and robot design issues.
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Affiliation(s)
- Yue Chen
- Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, USA.
| | - Isuru Godage
- School of Computing, DePaul University, Chicago, IL, USA
| | - Hao Su
- Department of Mechanical Engineering, City College of New York, New York, NY, USA
| | - Aiguo Song
- School of Instrument Science and Engineering, Southeast University, Nanjing, People's Republic of China
| | - Hong Yu
- Department of Neurological Surgery, Vanderbilt University, Nashville, TN, USA
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